A multi-system comparison of forecast flooding extent using a scale-selective approach [data]

A multi-system comparison of forecast flooding extent using a scale-selective approach, data.

Creator: Helen Hooker[1] Publication Year: 2023

Organisation(s): 1. Department of Meteorology, University of Reading, U.K

Description: This dataset contains:

- SAR-derived observed flood maps used in the study.

- CSM validation maps for forecast flood maps from Food Foresight (FF), GloFAS Rapid Flood Mapping (RFM) and FFWC Super Model (FFWC) predicting flooding extent on 25 July 2020 for the Jamuna River, Bangladesh compared against Sentinel-1 SAR-derived flooding extent. File format is e.g. CSM_FF_forecastdate_rundate.tif. CSM maps for Flood Foresight following system improvement are labelled with ..._reas.tif.

Helen Hooker. (2023). A multi-system comparison of forecast flooding extent using a scale-selective approach (v1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7509980

Related publications:

A multi-system comparison of forecast flooding extent using a scale-selective approach; 2023; Hydrology Research (in preparation) Helen Hooker[1], Sarah L. Dance[1,2,3], David C. Mason[4], John Bevington[5], and Kay Shelton[5]

1. Department of Meteorology, University of Reading, UK.
2. Department of Mathematics and Statistics, University of Reading, UK.
3. NCEO, University of Reading, UK.
4. Department of Geography and Environmental Science, University of Reading, UK.
5. JBA Consulting, UK.

Correspondence: Helen Hooker (h.hooker@pgr.reading.ac.uk)